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Tytuł pozycji:

Enhancing Privacy and Data Security across Healthcare Applications Using Blockchain and Distributed Ledger Concepts.

Tytuł :
Enhancing Privacy and Data Security across Healthcare Applications Using Blockchain and Distributed Ledger Concepts.
Autorzy :
Liu, Haibing
Crespo, Rubén González
Martínez, Oscar Sanjuán
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Temat :
BLOCKCHAINS
DATA security
SUPPLY chain management
DATA entry
PRIVACY
INFORMATION sharing
Źródło :
Healthcare (2227-9032); Sep2020, Vol. 8 Issue 3, p243, 1p
Czasopismo naukowe
Nowadays, blockchain is developing as a secure and trustworthy platform for secure information sharing in areas of application like banking, supply chain management, food industry, energy, the Internet, and medical services. Besides, the blockchain can be described in a decentralized manner as an immutable ledger for recording data entries. Furthermore, this new technology has been developed to interrupt a variety of data-driven fields, including the health sector. However, blockchain refers to the distributed ledger technology, which constitutes an innovation in the information recording and sharing without a trusted third party. In this paper, blockchain and Distributed Ledger-based Improved Biomedical Security system (BDL-IBS) has been proposed to enhance the privacy and data security across healthcare applications. Further, our goal is to make it possible for patients to use the data to support their care and to provide strong consent systems for sharing data among different organizations and applications, since this includes managing and accessing a high amount of medical information, and this technology can maintain data to ensure reliability. Finally, results show that new blockchain-based digital platforms allow for fast, easy, and seamless interactions between data suppliers to enhance privacy and data security, including for patients themselves. [ABSTRACT FROM AUTHOR]
Copyright of Healthcare (2227-9032) is the property of MDPI Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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